Importing SciPy submodules - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the 'integrate' submodule from SciPy.

SciPy

from scipy import [1]

Drag options to blanks, or click blank then click option'

Aoptimize

Bintegrate

Cstats

Dcluster

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong submodule like 'optimize' or 'stats'.

Using 'import scipy.integrate' instead of 'from scipy import integrate'.

The 'integrate' submodule is imported from SciPy using 'from scipy import integrate'.

2fill in blank

medium

Complete the code to import the 'optimize' submodule from SciPy.

SciPy

import scipy.[1] as opt

Drag options to blanks, or click blank then click option'

Asignal

Bintegrate

Clinalg

Doptimize

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'import scipy.integrate as opt' which is incorrect aliasing.

Forgetting the alias 'as opt' after the import.

The 'optimize' submodule is imported as 'opt' using 'import scipy.optimize as opt'.

3fill in blank

hard

Fix the error in the code to correctly import the 'stats' submodule from SciPy.

SciPy

from scipy import [1]

Drag options to blanks, or click blank then click option'

Astat

Bstatistic

Cstats

Dstatistics

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'stat' or 'statistics' which do not exist as SciPy submodules.

Misspelling the submodule name.

The correct submodule name is 'stats', not 'stat' or other variants.

4fill in blank

hard

Fill both blanks to import 'linalg' submodule and use its 'inv' function to compute the inverse of matrix 'A'.

SciPy

from scipy import [1]
result = [2].inv(A)

Drag options to blanks, or click blank then click option'

Alinalg

Bintegrate

Doptimize

Attempts:

3 left

💡 Hint

Common Mistakes

Importing wrong submodule like 'integrate' or 'optimize'.

Using wrong alias or submodule name when calling 'inv'.

The 'linalg' submodule is imported and used to call 'inv' for matrix inversion.

5fill in blank

hard

Fill all three blanks to import 'signal' submodule, create a simple sine wave, and apply a low-pass filter using 'butter' and 'filtfilt'.

SciPy

import numpy as np
from scipy import [1]

fs = 500  # Sampling frequency
T = 1.0  # seconds
n = int(T * fs)
t = np.linspace(0, T, n, endpoint=False)
x = np.sin(2 * np.pi * 5 * t)

b, a = [2].butter(4, 0.1, 'low')
y = [3].filtfilt(b, a, x)

Drag options to blanks, or click blank then click option'

Asignal

Dintegrate

Attempts:

3 left

💡 Hint

Common Mistakes

Importing wrong submodule like 'integrate'.

Using different submodule names when calling 'butter' or 'filtfilt'.

The 'signal' submodule is imported and used to create a Butterworth filter and apply it with 'filtfilt'.